AI Acceptable Use Policy Generator for Marketing Teams
Marketing LeadershipintermediateClaude 3.5 Sonnet or GPT-4o. Claude excels at structured policy documents with nuanced guidance; GPT-4o offers strong compliance language and practical examples. Both handle multi-section frameworks well.
When to Use This Prompt
Use this prompt when establishing AI governance for your marketing organization, onboarding new AI tools, or updating existing policies after security incidents or regulatory changes. Essential for CMOs managing risk while enabling AI adoption across teams.
The Prompt
You are an expert in marketing operations, compliance, and AI governance. Create a comprehensive Acceptable Use Policy (AUP) for AI tools within a marketing department.
## Context
Our marketing team of [TEAM_SIZE] uses AI tools including [LIST_AI_TOOLS: e.g., ChatGPT, Claude, Gemini, Midjourney] for [PRIMARY_USE_CASES: e.g., content creation, market research, campaign analysis, creative ideation]. We operate in the [INDUSTRY] industry and must comply with [RELEVANT_REGULATIONS: e.g., GDPR, CCPA, SOC 2].
## Policy Requirements
Generate an AUP document that includes:
1. **Permitted Uses**: Specific marketing functions where AI is approved (content drafting, data analysis, brainstorming, etc.)
2. **Prohibited Uses**: Clear restrictions on sensitive data handling, customer PII, proprietary information, and competitive intelligence
3. **Data Security Guidelines**: Requirements for what data can/cannot be input into AI systems, handling of confidential information, and data retention
4. **Brand & Compliance Standards**: How to maintain brand voice, ensure regulatory compliance, fact-checking requirements, and disclosure obligations
5. **Intellectual Property Guidance**: Ownership of AI-generated content, attribution requirements, and licensing considerations
6. **Accountability Framework**: Who approves AI use for different functions, audit trails, and escalation procedures
7. **Training & Support**: Required training before using AI tools and resources for questions
8. **Review Schedule**: When this policy will be reviewed and updated
## Tone & Format
Write in professional but accessible language. Use clear sections with bullet points. Include 2-3 realistic examples for each major section. Make it actionable for [SENIORITY_LEVEL: e.g., individual contributors, team leads, executives]. Anticipate 3-4 common objections and address them briefly.
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Tips for Best Results
- 1.Customize the prohibited uses section based on your actual data sensitivity and regulatory environment. Generic policies create compliance gaps—be specific about what your team handles.
- 2.Include 2-3 concrete examples for each section so team members understand intent, not just rules. Abstract policies generate confusion and workarounds.
- 3.Add an escalation path for edge cases (e.g., 'If unsure, ask your manager before using AI'). Perfect policies don't exist; build in judgment calls.
- 4.Schedule quarterly reviews into your calendar now. AI tools and regulations evolve faster than annual reviews; stale policies breed non-compliance.
Example Output
# Marketing Team AI Acceptable Use Policy
## 1. Permitted Uses
**Approved Applications:**
- Content drafting and copywriting (blog posts, email campaigns, social media)
- Market research synthesis and competitive analysis
- Campaign performance analysis and reporting
- Creative ideation and brainstorming sessions
- Internal documentation and process documentation
**Example:** A content marketer may use ChatGPT to draft 5 variations of an email subject line, then select and refine the best option before sending.
## 2. Prohibited Uses
**Strictly Forbidden:**
- Inputting customer names, email addresses, or transaction history
- Processing health data, financial information, or sensitive personal details
- Sharing proprietary pricing models, product roadmaps, or unreleased campaigns
- Using AI to generate misleading claims or unsubstantiated product benefits
**Example:** Do NOT paste a list of customer email addresses into an AI tool to generate personalized messages. Instead, use your email platform's personalization features.
## 3. Data Security Guidelines
- Never paste full customer datasets; use anonymized, aggregated data only
- Remove all identifying information before inputting any data
- Assume all inputs to public AI tools may be retained; use enterprise versions for sensitive work
- Delete prompts and outputs containing confidential information from your chat history
## 4. Brand & Compliance
- All AI-generated content requires human review before publication
- Fact-check all statistics and claims; AI can hallucinate data
- Disclose AI use in content when required by platform policies or regulations
- Ensure compliance with GDPR/CCPA when generating customer-facing communications
**Example:** An AI tool suggests a statistic about market growth. Your team must verify this with original sources before including it in a client proposal.
## 5. Intellectual Property
- Content generated by AI tools belongs to your company when created with enterprise accounts
- Always review AI output for potential copyright issues
- Attribute AI assistance in internal documents (e.g., "Draft created with Claude")
## 6. Accountability
- Individual contributors: Use approved tools for permitted functions; report concerns to your manager
- Team leads: Approve AI use for sensitive projects; maintain audit log of high-risk applications
- Marketing leadership: Quarterly review of AI usage patterns; update policy as needed
## 7. Training & Support
All team members must complete "AI Fundamentals for Marketers" before accessing tools. Monthly office hours available for questions.
## 8. Policy Review
This policy will be reviewed quarterly and updated as new tools or regulations emerge.
Related Prompts
Related Reading
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Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.
